[Survey Report] 87.1% Report 'Increased' Content Output with Gen AI, but 82.4% Mostly Trust AI Suggestions, Highlighting Quality Control Challenges
Innova Inc. released a survey on Generative AI in content marketing. While 87.1% of marketers noted an increase in content production, heavy reliance on AI suggestions (82.4%) exposes significant quality control and hallucination risks.
📋 Article Processing Timeline
- 📰 Published: April 6, 2026 at 19:10
- 🔍 Collected: April 6, 2026 at 10:30
- 🤖 AI Analyzed: April 21, 2026 at 03:00 (352h 30m after Collected)
Innova Inc. (Headquarters: Shinjuku-ku, Tokyo; CEO: Jun Munakata, hereinafter Innova) has released a free report on a survey regarding the 'State of Generative AI Utilization in Content Marketing,' conducted among 108 marketing professionals involved in content creation who have experience using generative AI.
Survey Overview
- Conducting Organization: Innova Inc.
- Methodology: Internet survey planned by IDEATECH's research data marketing 'ReserP®'
- Survey Period: March 13 to March 16, 2026
- Valid Responses: 108 marketing professionals involved in content creation with generative AI experience
* Some figures have been rounded off to make the total 100%. Therefore, there may be slight discrepancies with the actual calculated values.
Terms of Use
1. Please specify 'Innova Inc.' as the source of the information.
2. If using it on a website, please provide the following link as the source.
URL: https://innova-jp.com/
■ The top use case for generative AI in content marketing is 'Persona setting and target analysis' at over 60%, followed by 'Utilization in the content planning to drafting phase' at over 50%.
Q. In content creation such as blog articles, white papers, and case studies, at which phase of the production flow do you use generative AI? (Multiple answers allowed)
It has become clear that the practical application of AI in the field of content creation is becoming mainstream.
■ 'Persona setting and target analysis' and 'Content planning to drafting phase' also rank high as tasks where the burden has been reduced through generative AI utilization.
Q. What tasks do you feel have become 'less burdensome (easier)' through the use of generative AI? (Multiple answers allowed)